Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks

Zhao, M; Zhang, J; Zhang, C; Zhang, W

Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks

Zhao, M Zhang, J

Zhang, C Zhang, W

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Publisher:: SPRINGER INTERNATIONAL PUBLISHING AG
Publication Type:: Conference Proceeding
Citation:: COMPUTER VISION - ACCV 2018, PT VI, 2019, 11366 pp. 247 - 261 (15)
Issue Date:: 2019-01-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Zhao, M	en_US
dc.contributor.author	Zhang, J https://orcid.org/0000-0002-7240-3541	en_US
dc.contributor.author	Zhang, C	en_US
dc.contributor.author	Zhang, W	en_US
dc.contributor.editor	Jawahar, CV	en_US
dc.contributor.editor	Li, H	en_US
dc.contributor.editor	Mori, G	en_US
dc.contributor.editor	Schindler, K	en_US
dc.date	2018-12-02	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	COMPUTER VISION - ACCV 2018, PT VI, 2019, 11366 pp. 247 - 261 (15)	en_US
dc.identifier.isbn	978-3-030-20875-2	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132084
dc.publisher	SPRINGER INTERNATIONAL PUBLISHING AG	en_US
dc.relation.ispartof	COMPUTER VISION - ACCV 2018, PT VI	en_US
dc.relation.ispartof	14th Asian Conference on Computer Vision (ACCV)	en_US
dc.relation.isbasedon	10.1007/978-3-030-20876-9_16	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks	en_US
dc.type	Conference Proceeding
utslib.citation.volume	11366	en_US
utslib.location.activity	Perth, AUSTRALIA	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.finish-date	2018-12-06	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2018-12-02	en_US
pubs.volume	11366	en_US

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http://hdl.handle.net/10453/132084